Title :
Black-box modelling of the induction motor
Author :
Yaacob, Sazali ; Mohamed, Faisal A.
Author_Institution :
Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur, Malaysia
Abstract :
This paper is concerned with the black-box modelling of the induction motor from test data. Data obtained using a computer-based data acquisition card, the aim of the work described in this paper is to obtain linear model of the induction motor directly from test data. A pseudo random binary sequence (PRBS) was chosen as the test input signal. Data once collected was downloaded to the PC. The process of modelling and validation is then carried out using a MATLAB package. In this application a noise/disturbance free model structure (ARMAX) was assumed
Keywords :
autoregressive moving average processes; data acquisition; electric machine analysis computing; induction motors; machine theory; ARMAX structure; MATLAB package; PRBS; black-box modelling; computer-based data acquisition card; disturbance free model structure; induction motor; noise free model structure; pseudo random binary sequence; test data; DC motors; Data acquisition; Induction motors; Parameter estimation; Power system modeling; Predictive models; Signal design; Synchronous motors; System identification; Testing;
Conference_Titel :
SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
Conference_Location :
Chiba
DOI :
10.1109/SICE.1998.742935
